The Challenge
Large enterprises have invested heavily in AI tools like Microsoft Copilot and ChatGPT, yet only 8–9% of knowledge workers are genuinely AI-proficient. Deployment has stalled due to employee anxiety driven by media narratives, constrained or underfunded AI licenses, lack of cultural buy-in, absence of a clear organizational AI point of view, and insufficient training — resulting in poor ROI on AI investments and growing risk of enterprise client churn for AI vendors.
What They Built
Section delivers a structured AI workforce transformation program covering AI manifesto development, license upgrades, change management, proprietary AI coaching certification via Prof AI, and hands-on workflow redesigns for the 3–5 highest-impact workflows per team.
Section's approach begins with the organizational layer: developing an AI manifesto that establishes a clear, shared point of view on AI's role, countering the media-driven anxiety that stalls adoption. License infrastructure is upgraded to best-in-class enterprise tools — ChatGPT Enterprise, Microsoft Copilot, Google Gemini, Claude, or Perplexity — based on organizational fit. Change management runs in parallel: Lunch & Learns, AI shoutout channels on Slack, and internal communications that normalize experimentation. Prof AI, Section's proprietary coaching platform, then certifies employees on prompting, use cases, and responsible AI use at scale. The final layer is workflow redesign: Section works with each team to identify and rebuild the 3–5 most impactful workflows with AI embedded directly into the process. For very large organizations, Section recommends a 100-person pilot before full rollout. Across engagements, this approach consistently moves enterprises from 8–9% AI proficiency at baseline to 50%+ meaningful usage within 12 months — creating measurable ROI on existing AI investments and competitive differentiation.
Enterprise organizations (500+ employees) with low AI adoption despite having deployed tools; Heads of AI/Innovation or functional leaders in product and marketing responsible for AI adoption; companies in language-intensive functions (agencies, media, CPG, legal, financial services) seeking competitive AI readiness. Not industry-specific.
